End of training
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README.md
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---
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license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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- generated_from_trainer
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datasets:
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- indonlg
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metrics:
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- f1
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model-index:
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- name: IndoNanoT5-base-TyDiQA
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: indonlg
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type: indonlg
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config: question_answering
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split: validation
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args: question_answering
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metrics:
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- name: F1
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type: f1
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value: 72.19688326266134
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# IndoNanoT5-base-TyDiQA
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the indonlg dataset.
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It achieves the following results on the evaluation set:
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- Exact: 58.9474
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- F1: 72.1969
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- Total: 855
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- Hasans Exact: 58.9474
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- Hasans F1: 72.1969
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- Hasans Total: 855
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- Best Exact: 58.9474
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- Best Exact Thresh: 0.0
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- Best F1: 72.1969
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- Best F1 Thresh: 0.0
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- Loss: 0.1283
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Exact | F1 | Total | Hasans Exact | Hasans F1 | Hasans Total | Best Exact | Best Exact Thresh | Best F1 | Best F1 Thresh | Validation Loss |
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|:-------------:|:-----:|:----:|:-------:|:-------:|:-----:|:------------:|:---------:|:------------:|:----------:|:-----------------:|:-------:|:--------------:|:---------------:|
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| 1.9173 | 1.0 | 606 | 45.1327 | 63.8499 | 565 | 45.1327 | 63.8499 | 565 | 45.1327 | 0.0 | 63.8499 | 0.0 | 0.1147 |
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| 0.1971 | 2.0 | 1212 | 50.4425 | 68.7240 | 565 | 50.4425 | 68.7240 | 565 | 50.4425 | 0.0 | 68.7240 | 0.0 | 0.1025 |
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| 0.1475 | 3.0 | 1818 | 53.8053 | 71.0124 | 565 | 53.8053 | 71.0124 | 565 | 53.8053 | 0.0 | 71.0124 | 0.0 | 0.0992 |
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| 0.1175 | 4.0 | 2424 | 53.6283 | 71.1353 | 565 | 53.6283 | 71.1353 | 565 | 53.6283 | 0.0 | 71.1353 | 0.0 | 0.1008 |
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| 0.0814 | 5.0 | 3030 | 53.4513 | 71.0439 | 565 | 53.4513 | 71.0439 | 565 | 53.4513 | 0.0 | 71.0439 | 0.0 | 0.1040 |
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| 0.0665 | 6.0 | 3636 | 54.1593 | 71.5788 | 565 | 54.1593 | 71.5788 | 565 | 54.1593 | 0.0 | 71.5788 | 0.0 | 0.1051 |
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| 0.0555 | 7.0 | 4242 | 54.8673 | 72.4372 | 565 | 54.8673 | 72.4372 | 565 | 54.8673 | 0.0 | 72.4372 | 0.0 | 0.1137 |
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| 0.0483 | 8.0 | 4848 | 56.2832 | 72.3749 | 565 | 56.2832 | 72.3749 | 565 | 56.2832 | 0.0 | 72.3749 | 0.0 | 0.1188 |
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| 0.0416 | 9.0 | 5454 | 55.5752 | 72.2892 | 565 | 55.5752 | 72.2892 | 565 | 55.5752 | 0.0 | 72.2892 | 0.0 | 0.1154 |
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| 0.031 | 10.0 | 6060 | 55.0442 | 71.8127 | 565 | 55.0442 | 71.8127 | 565 | 55.0442 | 0.0 | 71.8127 | 0.0 | 0.1312 |
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| 0.0278 | 11.0 | 6666 | 55.7522 | 73.4756 | 565 | 55.7522 | 73.4756 | 565 | 55.7522 | 0.0 | 73.4756 | 0.0 | 0.1253 |
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| 0.0257 | 12.0 | 7272 | 55.7522 | 73.0958 | 565 | 55.7522 | 73.0958 | 565 | 55.7522 | 0.0 | 73.0958 | 0.0 | 0.1292 |
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| 0.023 | 13.0 | 7878 | 56.2832 | 73.3269 | 565 | 56.2832 | 73.3269 | 565 | 56.2832 | 0.0 | 73.3269 | 0.0 | 0.1271 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.0+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.37.2"
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}
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model.safetensors
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runs/Feb06_14-27-41_bookbot-h100/events.out.tfevents.1707229662.bookbot-h100
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